Intelligent RMPS Allocation for Microgrids Support During Scheduled Islanded Operation
New opportunities enabled by renewable mobile power stations (RMPSs), in association with microgrids (MGs) ability to operate islanded to the main grid, present a likely solution to ensure power system novel reliability requirements in face of the increasing number of severe disruptive events. In th...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9125874/ |
| _version_ | 1818920802673754112 |
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| author | Juliana Ribas Monteiro Yuri R. Rodrigues Maira Ribas Monteiro A. C. Zambroni De Souza Benedito Isaias Lima Fuly |
| author_facet | Juliana Ribas Monteiro Yuri R. Rodrigues Maira Ribas Monteiro A. C. Zambroni De Souza Benedito Isaias Lima Fuly |
| author_sort | Juliana Ribas Monteiro |
| collection | DOAJ |
| description | New opportunities enabled by renewable mobile power stations (RMPSs), in association with microgrids (MGs) ability to operate islanded to the main grid, present a likely solution to ensure power system novel reliability requirements in face of the increasing number of severe disruptive events. In this perspective, this paper proposes a novel intelligent RMPS allocation method to support MGs during scheduled islanded operation. In this mode, the isolated operation of a MG is beforehand planned to mitigate the effects caused by possible predictable contingencies, e.g. weather-related events, as well as programmed maintenance. For this, first a novel energy management strategy (EMS) based on dynamic programming specifically designed for MG scheduled islanded operation is proposed. Next, a particle swarm optimization (PSO) method modified to ensure a continuous search space in the face of discrete load shedding policies is developed to determine the adequate allocation of RMPS. The proposed method is simulated considering different scenarios for a MG system considering local distributed generation capacity, electric vehicles penetration, load shedding based on priority groups, as well as technical and operational limits. The obtained results showcase the proposed approach ability to meaningfully improve MG service capacity during scheduled islanded operation. |
| first_indexed | 2024-12-20T01:27:33Z |
| format | Article |
| id | doaj.art-be85a04fd91147caa7925dfb1824af5b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T01:27:33Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-be85a04fd91147caa7925dfb1824af5b2022-12-21T19:58:12ZengIEEEIEEE Access2169-35362020-01-01811794611796010.1109/ACCESS.2020.30050819125874Intelligent RMPS Allocation for Microgrids Support During Scheduled Islanded OperationJuliana Ribas Monteiro0https://orcid.org/0000-0001-7836-1058Yuri R. Rodrigues1Maira Ribas Monteiro2A. C. Zambroni De Souza3Benedito Isaias Lima Fuly4Institute of Electrical Systems and Energy, Federal University of Itajubá, Itajubá, BrazilSchool of Engineering, The University of British Columbia, Kelowna, BC, CanadaInstitute of Electrical Systems and Energy, Federal University of Itajubá, Itajubá, BrazilInstitute of Electrical Systems and Energy, Federal University of Itajubá, Itajubá, BrazilInstitute of Electrical Systems and Energy, Federal University of Itajubá, Itajubá, BrazilNew opportunities enabled by renewable mobile power stations (RMPSs), in association with microgrids (MGs) ability to operate islanded to the main grid, present a likely solution to ensure power system novel reliability requirements in face of the increasing number of severe disruptive events. In this perspective, this paper proposes a novel intelligent RMPS allocation method to support MGs during scheduled islanded operation. In this mode, the isolated operation of a MG is beforehand planned to mitigate the effects caused by possible predictable contingencies, e.g. weather-related events, as well as programmed maintenance. For this, first a novel energy management strategy (EMS) based on dynamic programming specifically designed for MG scheduled islanded operation is proposed. Next, a particle swarm optimization (PSO) method modified to ensure a continuous search space in the face of discrete load shedding policies is developed to determine the adequate allocation of RMPS. The proposed method is simulated considering different scenarios for a MG system considering local distributed generation capacity, electric vehicles penetration, load shedding based on priority groups, as well as technical and operational limits. The obtained results showcase the proposed approach ability to meaningfully improve MG service capacity during scheduled islanded operation.https://ieeexplore.ieee.org/document/9125874/Microgridsrenewable mobile power stationsscheduled islandingenergy management strategy |
| spellingShingle | Juliana Ribas Monteiro Yuri R. Rodrigues Maira Ribas Monteiro A. C. Zambroni De Souza Benedito Isaias Lima Fuly Intelligent RMPS Allocation for Microgrids Support During Scheduled Islanded Operation IEEE Access Microgrids renewable mobile power stations scheduled islanding energy management strategy |
| title | Intelligent RMPS Allocation for Microgrids Support During Scheduled Islanded Operation |
| title_full | Intelligent RMPS Allocation for Microgrids Support During Scheduled Islanded Operation |
| title_fullStr | Intelligent RMPS Allocation for Microgrids Support During Scheduled Islanded Operation |
| title_full_unstemmed | Intelligent RMPS Allocation for Microgrids Support During Scheduled Islanded Operation |
| title_short | Intelligent RMPS Allocation for Microgrids Support During Scheduled Islanded Operation |
| title_sort | intelligent rmps allocation for microgrids support during scheduled islanded operation |
| topic | Microgrids renewable mobile power stations scheduled islanding energy management strategy |
| url | https://ieeexplore.ieee.org/document/9125874/ |
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